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International Journal of Research and Innovation in Social Science (IJRISS)

The Dark Side of AI-Augmented Leadership: Authoritarian Leadership as A Boundary Condition

byZeineb ESSID

Published December 9, 2025  •  Vol. 9, Issue 14, pp. 3042–3053Open Access
DOI: 10.47772/IJRISS.2025.914MG00233

Abstract

Purpose
This study aims to investigate the influence of AI-augmented leadership on employee well-being in the Middle East and North Africa (MENA). It examine the moderating effect of authoritarian leadership styles.
Design/methodology/approach
A quantitative study was conducted using data collected from a survey of 104 professionals in Tunisia, Egypt, and Saudi Arabia. This research applied the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique to test the proposed conceptual framework.
Findings
The results indicate that AI-augmented leadership significantly improves employee well-being. However, moderation analysis reveals that authoritarian leadership weakens this positive relationship. Specifically, when authoritarian leadership dominates, the stress-reducing benefits of using AI are considerably diminished.
This highlights the impact of cultural leadership norms on the effectiveness of AI-based management approaches.

Keywords: AI-augmented leadership, employee well-being, authoritarian leadership, MENA region

JournalInternational Journal of Research and Innovation in Social Science (IJRISS)
ISSN2454-6186
Volume / IssueVolume 9, Issue 14
Pages3042–3053
Publication dateDecember 9, 2025
DOI10.47772/IJRISS.2025.914MG00233
PublisherRSIS International
LicenseOpen Access

How to cite this article

Zeineb ESSID (2025). The Dark Side of AI-Augmented Leadership: Authoritarian Leadership as A Boundary Condition. International Journal of Research and Innovation in Social Science (IJRISS), 9(14), 3042-3053. https://doi.org/10.47772/IJRISS.2025.914MG00233

BibTeX

@article{Zeineb2025,
  title   = {The Dark Side of AI-Augmented Leadership: Authoritarian Leadership as A Boundary Condition},
  author  = {Zeineb ESSID},
  journal = {International Journal of Research and Innovation in Social Science (IJRISS)},
  volume  = {9},
  number  = {14},
  pages   = {3042--3053},
  year    = {2025},
  doi     = {10.47772/IJRISS.2025.914MG00233},
  publisher = {RSIS International}
}